178 citations · 1.1k across the 84 of their papers we have counts for
7 papers · 1 filter
Characterizing IoT Data and its Quality for Use
Nashez Zubair, Niranjan A, Kiran Hebbar +1
The Internet of Things (IoT) is a cyber physical social system that encompasses science, enterprise and societal domains. Data is the most important commodity in IoT, enabling the…
DiPETrans: A Framework for Distributed Parallel Execution of Transactions of Blocks in Blockchain
Shrey Baheti, Parwat Singh Anjana, Sathya Peri +1
Contemporary blockchain such as Bitcoin and Ethereum execute transactions serially by miners and validators and determine the Proof-of-Work (PoW). Such serial execution is unable t…
ElfStore: A Resilient Data Storage Service for Federated Edge and Fog Resources
Sumit Kumar Monga, Sheshadri K R, Yogesh Simmhan
Edge and fog computing have grown popular as IoT deployments become wide-spread. While application composition and scheduling on such resources are being explored, there exists a g…
Distributed Algorithms for Subgraph-Centric Graph Platforms
Diptanshu Kakwani, Yogesh Simmhan
Graph analytics for large scale graphs has gained interest in recent years. Many graph algorithms have been designed for vertex-centric distributed graph processing frameworks to o…
Characterizing Application Scheduling on Edge, Fog and Cloud Computing Resources
Prateeksha Varshney, Yogesh Simmhan
Cloud computing has grown to become a popular distributed computing service offered by commercial providers. More recently, Edge and Fog computing resources have emerged on the wid…
A Partition-centric Distributed Algorithm for Identifying Euler Circuits in Large Graphs
Siddharth D Jaiswal, Yogesh Simmhan
Finding the Eulerian circuit in graphs is a classic problem, but inadequately explored for parallel computation. With such cycles finding use in neuroscience and Internet of Things…
A Scalable Platform for Distributed Object Tracking across a Many-camera Network
Aakash Khochare, Aravindhan K, Yogesh Simmhan
Advances in deep neural networks (DNN) and computer vision (CV) algorithms have made it feasible to extract meaningful insights from large-scale deployments of urban cameras. Track…